Quant Researcher - Machine Learning

Job Summary:

We are seeking a highly skilled Quantitative ML Researcher to join our HFT trading team. You'll be working at the intersection of quantitative research, machine learning, and high-performance software engineering, helping to develop, implement, and optimize trading strategies deployed in global financial markets.

This is a hybrid research-engineering role where you'll collaborate with traders, researchers, and infrastructure engineers to create cutting-edge tools and models that drive our trading decisions.

Requirements

• Design, implement, and optimize statistical and ML-based trading models.
• Develop high-performance, low-latency code in C++, Python, or Rust.
• Analyze large-scale, high-frequency data to identify predictive signals (alpha).
• Collaborate with research and trading teams to backtest and deploy strategies in live environments.
• Build tools for feature engineering, data normalization, and model evaluation.
• Improve execution algorithms for minimizing slippage, market impact, and latency.
• Contribute to building robust infrastructure for automated model training and deployment.